{"id":"W2125172218","doi":"10.1109/infcom.1996.493058","title":"Context independent unique sequences generation for protocol testing","year":2002,"lang":"en","type":"article","venue":"","topic":"Software Testing and Debugging Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Computer science; Context (archaeology); Protocol (science); Geology; Paleontology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003524577,0.0001028132,0.00009274844,0.0000650941,0.0001635505,0.0002021884,0.0004231702,0.00005509688,0.00001671046],"category_scores_gemma":[0.0006091703,0.00008461924,0.00003007044,0.0002087178,0.00002176839,0.0003008592,0.00007667084,0.00006683729,0.00001275869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003639395,"about_ca_system_score_gemma":0.00002987056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001042686,"about_ca_topic_score_gemma":0.00001538039,"domain_scores_codex":[0.9991219,0.00003767404,0.0001936075,0.0003035222,0.0001541897,0.0001890793],"domain_scores_gemma":[0.9990606,0.0003094985,0.00008349379,0.0003115103,0.0001850622,0.00004982954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002901344,0.0001474294,0.005827523,0.00006025254,0.00001135748,0.00001181583,0.0006043787,0.00009061481,0.005246445,0.05291598,0.1386028,0.7964785],"study_design_scores_gemma":[0.0002853476,0.0002948745,0.00009603943,0.00003925492,0.000001731888,0.00003988464,0.000003026079,0.9432985,0.01819813,0.0333647,0.004156766,0.0002217064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000297911,0.000005432329,0.9678216,0.0004531509,0.00006167117,0.02052169,5.765194e-7,0.008049021,0.002788962],"genre_scores_gemma":[0.2235339,1.361867e-7,0.7158005,0.0006486452,0.00009091393,0.05944345,6.328982e-7,0.000007445323,0.0004743964],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9432079,"threshold_uncertainty_score":0.3450673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.167027403744038,"score_gpt":0.3192474106906744,"score_spread":0.1522200069466363,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}